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Showing 1 to 15 of 107 results Save | Export
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Fink, Aron; Spoden, Christian; Frey, Andreas – Education and Information Technologies, 2023
The replacement of existing technology or the introduction of novel technology into the day-to-day routines of higher education institutions is not a trivial task. Currently, many higher education institutions are faced with the challenge of replacing existing procedures for administering written exams with e-exams. To guide this process, this…
Descriptors: College Faculty, Teacher Attitudes, Intention, Computer Assisted Testing
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Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
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Maria Fahlgren; Mats Brunström – International Journal of Mathematical Education in Science and Technology, 2025
This paper provides some insights into the use of example-generating tasks in the design of a technology-rich learning environment to enhance students' mathematical thinking. The paper reports on an early stage of a design-based research project concerning the design of tasks and associated feedback utilising the affordances provided by a combined…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Computer Software
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Joseph, Seena; Thompson, Robyn; Soobramoney, Subashnie; Wing, Jeanette Wendy – Tuning Journal for Higher Education, 2022
The COVID-19 pandemic created the need for a global change in tertiary education. Universities that traditionally relied on contact with students in physical classrooms were forced to consider modes of remote teaching to mitigate the risks of infection due to physical proximity. This study evaluates the emergency remote teaching implemented within…
Descriptors: COVID-19, Pandemics, Foreign Countries, Electronic Learning
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Marchisio, Marina; Roman, Fabio; Sacchet, Matteo – International Association for Development of the Information Society, 2021
The role of mathematical modelling pertains several disciplines, both STEM and non-STEM, and various fields: education, academy, work, everyday and social life. Despite its importance, it is not uncommon to see university students facing difficulties with the use of Mathematics to create models, even when mathematical entities that play a role in…
Descriptors: Mathematical Models, College Students, Mathematics Tests, Error Patterns
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Astuti, Sri; Rukmana, Diki – Quality Assurance in Education: An International Perspective, 2021
Purpose: The COVID-19 pandemic that hit the world has caused several changes in the higher education service sector, including the implementation of the undergraduate thesis examination, where direct interaction between students and examiners is avoided and replacing it with an online bachelor thesis exam. This study aims to develop a conceptual…
Descriptors: Student Satisfaction, Program Implementation, Undergraduate Students, Student Evaluation
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Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
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Acosta-Gonzaga, Elizabeth; Walet, Niels R. – Assessment & Evaluation in Higher Education, 2018
This study explores student attitudes to the use of substantive on-line assessments that require mathematical answers. Since there is limited guidance available for their use in a university setting, our goal is to learn what are the important aspects in student acceptance of e-assessments that support learning of mathematical subjects in higher…
Descriptors: Student Attitudes, Evaluation Methods, Computer Assisted Testing, Undergraduate Students
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
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Ningsih, Tutuk; Yuwono, Dwi Margo; Sholehuddin, M. Sugeng; Suharto, Abdul Wachid Bambang – Journal of Social Studies Education Research, 2021
Learning at home not only provides written assignments that are changed in electronic form but must also reflect student learning outcomes at home. Likewise, researchers use literary reading to avoid students getting bored with learning Indonesian language literacy and character education. However, improving literacy skills is not just reading…
Descriptors: Indonesian, Computer Assisted Testing, Fiction, Literacy
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Finkelstein, Idit; Soffer-Vital, Shira; Shraga-Roitman, Yael; Cohen-Liverant, Revital; Grebelsky-Lichtman, Tsfira – International Journal of Higher Education, 2022
Due to COVID-19, the world has encountered new challenges regarding pedagogy, learning, assessment, and evaluation. In meeting these challenges, there have been rapid changes in learning, and the gap between pedagogy and evaluation has grown. The purpose of this paper is to develop a new evaluative model suitable for the technologically enhanced,…
Descriptors: Student Evaluation, Evaluation Methods, Models, Culturally Relevant Education
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Aust, Frederik; Haaf, Julia M.; Stahl, Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Evaluative conditioning (EC) is a change in liking of neutral conditioned stimuli (CS) following pairings with positive or negative stimuli (unconditioned stimulus, US). A dissociation has been reported between US expectancy and CS evaluation in extinction learning: When CSs are presented alone subsequent to CS-US pairings, participants cease to…
Descriptors: Memory, Conditioning, Decision Making, Learning Processes
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Liu, I-Fan; Chen, Ruey-Shin; Lu, Hao-Chun – Educational Technology & Society, 2015
With the rapid development of the Internet and information technology, the issues related to online exams have become the concern of an increasing number of researchers. At present, the biggest challenges for the integration of web communication technology into online exams are the ability to detect cheating behaviors during the exam, and the…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Identification
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Malik, Kaleem Razzaq; Ahmad, Tauqir – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Electronic Assessment (E-Assessment) also known as computer aided assessment for the purposes involving diagnostic, formative or summative examining using data analysis. Digital assessments come commonly from social, academic, and adaptive learning in machine readable forms to deliver the machine scoring function. To achieve real-time and smart…
Descriptors: Computer Assisted Testing, Databases, Case Studies, Research Methodology
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